Oncology/Hematology

Other Cancers

Latest AI and machine learning research in other cancers for healthcare professionals.

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[Construction and preliminary validation of machine learning predictive models for cervical cancer screening based on human DNA methylation].

Using methylation characteristics of human genes to construct machine learning predictive models fo...

Feb 2025 39939021
Anatomy-Informed Deep Learning and Radiomics for Automated Neurofibroma Segmentation in Whole-Body MRI

Neurofibromatosis Type 1 is a genetic disorder characterized by the development of neurofibromas (...

Topology-Aware Wavelet Mamba for Airway Structure Segmentation in Postoperative Recurrent Nasopharyngeal Carcinoma CT Scans

Nasopharyngeal carcinoma (NPC) patients often undergo radiotherapy and chemotherapy, which can lea...

Differentially private fine-tuned NF-Net to predict GI cancer type

Based on global genomic status, the cancer tumor is classified as Microsatellite Instable (MSI) an...

[Advancements in artificial intelligence for the precise diagnosis and treatment of hematological malignancies].

Hematological malignancy is a highly heterogeneous disease with complex biological characteristics a...

Feb 2025 40134203
Leveraging Machine Learning and Deep Learning Techniques for Improved Pathological Staging of Prostate Cancer

Prostate cancer (Pca) continues to be a leading cause of cancer-related mortality in men, and the ...

Cancer Vaccine Adjuvant Name Recognition from Biomedical Literature using Large Language Models

Motivation: An adjuvant is a chemical incorporated into vaccines that enhances their efficacy by i...

Advancing Precision Oncology Through Modeling of Longitudinal and Multimodal Data

Cancer evolves continuously over time through a complex interplay of genetic, epigenetic, microenv...

A Data-Efficient Pan-Tumor Foundation Model for Oncology CT Interpretation

Artificial intelligence-assisted imaging analysis has made substantial strides in tumor diagnosis ...

Automatic quantification of breast cancer biomarkers from multiple 18F-FDG PET image segmentation

Neoadjuvant chemotherapy (NAC) has become a standard clinical practice for tumor downsizing in bre...

Differentiating between renal medullary and clear cell renal carcinoma with a machine learning radiomics approach.

BACKGROUND: The objective of this study was to develop and validate a radiomics-based machine learni...

Feb 2025 39963829
Graph Structure Learning for Tumor Microenvironment with Cell Type Annotation from non-spatial scRNA-seq data

The exploration of cellular heterogeneity within the tumor microenvironment (TME) via single-cell ...

Deep Ensemble approach for Enhancing Brain Tumor Segmentation in Resource-Limited Settings

Segmentation of brain tumors is a critical step in treatment planning, yet manual segmentation is ...

MorphoITH: A Framework for Deconvolving Intra-Tumor Heterogeneity Using Tissue Morphology

The ability of tumors to evolve and adapt by developing subclones in different genetic and epigene...

Universal Abstraction: Harnessing Frontier Models to Structure Real-World Data at Scale

The vast majority of real-world patient information resides in unstructured clinical text, and the...

Deep learning-based classifier for carcinoma of unknown primary using methylation quantitative trait loci.

Cancer of unknown primary (CUP) constitutes between 2% and 5% of human malignancies and is among the...

Feb 2025 39607989
Deep Learning Model for Predicting Immunotherapy Response in Advanced Non-Small Cell Lung Cancer.

IMPORTANCE: Only a small fraction of patients with advanced non-small cell lung cancer (NSCLC) respo...

Feb 2025 39724105
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